Apache ECharts vs Grafana
| Tagline | Powerful, declarative charting library for embedding interactive visualizations | Observability and analytics dashboards for metrics, logs, and time series |
| Category | BI & Dashboards | BI & Dashboards |
| Replaces | Tableau, Power BI | Tableau, Power BI, Datadog |
| GitHub stars | 60k | 75k |
| Language | TypeScript | TypeScript |
| License | Apache-2.0 | AGPL-3.0 |
| Self-host difficulty | 2/5 Easy | 2/5 Easy |
| Deploy options | Manual Docker | One-Click Docker Docker Compose Kubernetes Manual |
| Managed hosting | ||
| Last updated | 1 month ago | 5 days ago |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Apache ECharts
- Library only; no built-in query layer or data connector UI
- Requires custom development to build a full dashboard application
- No user management or saved-dashboard persistence out of the box
Grafana
- Oriented toward time-series and observability, not ad-hoc business analytics or pivot-style exploration
- No business-friendly visual query builder; dashboards assume knowledge of data sources and query languages
- Weak at relational/tabular BI reporting compared to Tableau or Power BI
- No semantic modeling layer; data modeling lives in the underlying sources
Bottom line
Both are a similar lift to self-host; choose Grafana for the larger community and ecosystem. Grafana has seen more recent development. Open each guide below for deploy steps and the full feature gap.
Apache ECharts
Powerful, declarative charting library for embedding interactive visualizations